-
Article metadata
-
Introduction
-
Increasing uptake of air quality from lower-cost sensing systems information in policy and society
-
Making use of air quality data from multiple sources
-
Data quality: coping with varying levels of data quality
-
Interoperability: comparing and integrating measurements from multiple sources
-
Modelling: analysing and learning from the multitude of air quality measurements available
-
Calibration: improving the quality of air quality information
-
Data management: sharing data and honouring sources, confidentiality and ownership
-
Moving ahead
-
Acknowledgements
-
References
